Senior Data Engineer
NeloBuy Now company
CDMX, MexicoSenior
Susa Ventures
Gaingels
Two Sigma Ventures
Homebrew
Victory Park Capital
Primer Capital
Data & AI
About the role
TL;DR
Design, build, and maintain scalable data pipelines and datasets for analytics and machine learning.
- •We are looking for a Senior Data Engineer to help design, build, and operate the core data platform that powers analytics, machine learning, and business decision-making at Nelo.
- •Key Responsibilities Own and evolve the data platform: Design, build, and maintain scalable, reliable data pipelines and datasets.
- •Build and maintain ETL/ELT pipelines: Develop production-grade pipelines that ingest data from various sources.
- •Enable analytics and business teams: Partner with Data Analytics and stakeholders to ensure data is well-modeled and accessible.
- •Support machine learning workflows: Build and maintain feature pipelines and feature stores that support model training and inference.
- •Ensure data quality and reliability: Implement data quality checks, monitoring, alerting, and SLAs.
- •Requirements At least 5 years of experience in data engineering, software engineering, or backend engineering roles.
- •Strong proficiency in Python and advanced SQL skills.
- •Hands-on experience building ETL/ELT pipelines using tools or frameworks such as Airflow, AWS Glue, dbt, or similar orchestration systems.
- •Experience working with cloud data warehouses and query engines such as Athena/Presto, Redshift, BigQuery, or Snowflake.
- •Familiarity with big data or distributed processing frameworks such as Spark (or equivalent).
Required skills
PythonSQLAirflowdbtRedshiftBigQuerySnowflakeSparkAWS
Domain expertise
fintech
Benefits & perks
Competitive salary and equity, 100% medical, dental & vision insurance coverage, Unlimited PTO, 401(k) for US-based employees, Extended maternity and paternity leave, Relocation support
Tech stack
PythonSQLAirflowdbtRedshiftBigQuerySnowflakeSparkAWS